MLCommons and the Autonomous Vehicle Computing Consortium have released a proof-of-concept for a comprehensive MLPerf Automotive Benchmark Suite for AI systems in vehicles. The…
Browsing: MLPerf
The latest MLPerf Training 4.0 results have been released, with Nvidia once again dominating all nine “events”. However, the real story is the maturity…
Dwith Chenna is an AI expert with more than six years of experience in computer vision, deep learning, and DSP optimization. He has actively…
MLCommons, the machine learning standards engineering consortium, has produced a machine learning storage benchmark with results from DDN, Nutanix, Weka and others. The benchmark…
MLCommons, the leading open AI engineering consortium, announced new results from two MLPerf™ benchmark suites: MLPerf Inference v3.1 and MLPerf Storage v0.5. MLPerf Inference…
SiMa.ai, a machine learning company delivering solutions for the embedded edge, announced the results of its second MLPerf submission, outperforming industry ML leader NVIDIA’s…
NVIDIA H100 Tensor Core GPUs have been proven to deliver the best AI performance, especially on large language models (LLMs) powering generative AI. This…
AVCC and MLCommons have announced the industry’s first Automotive Benchmark Suite to enable fair and accurate comparisons between different technologies used in autonomous vehicles.…
SiMa.ai, a 4-year-old semiconductor startup founded by Krishna Rangasayee, recently beat Nvidia in the MLPerf competition, conducted by MLCommons. SiMa.ai’s ML system-on-chip (SoC) platform…